Walmart Apollo, LLC

Wal-mart Stores, Inc.

David C Winkle

Donald R High

Michael D Atchley

Todd Davenport Mattingly

Brian G McHale

John Jeremiah O'Brien

Robert C Taylor

Robert L Cantrell

John Paul Thompson

John F Simon

Nathan Glenn Jones

Karl Kay

Shuvro Chakrobartty

Bruce Walter Wilkinson

Eric E Welch

Greg A Bryan

Benjamin D Enssle

Cristy Crane Brooks

Nicholas Ray Antel

Nicholaus Adam Jones

Matthew Allen Jones

Robert J Taylor

Aaron James Vasgaard

Eric Anthony Letson

Luke Matthew Reynolds

Samantha M Mangosing

Some embodiments include apparatuses providing control over movement of motorized transport units at a retail facility, comprising: multiple self-propelled motorized transport units; a wireless communication network; and a central computer system, wherein the central computer system comprises: a transceiver; a control circuit; and a memory storing computer instructions that when executed cause the control circuit to: receive an override command, from a worker associated with the retail facility, to cause a first motorized transport unit of the multiple motorized transport units to implement one or more actions; confirm a valid authorization of the worker to override one or more operating limits of the first motorized transport unit; and override the one or more operating limits and communicate one or more instructions to the first motorized transport unit configured to cause the first motorized transport unit to implement the one or more actions in accordance with the override command.

Overriding control of motorized transport unit systems, devices and methods

Apparatuses, components and methods are provided herein useful to provide assistance to customers and/or workers in a shopping facility. In some embodiments, a shopping facility personal assistance system comprises: a plurality of motorized transport units located in and configured to move through a shopping facility space; a plurality of user interface units, each corresponding to a respective motorized transport unit during use of the respective motorized transport unit; and a central computer system having a network interface such that the central computer system wirelessly communicates with one or both of the plurality of motorized transport units and the plurality of user interface units, wherein the central computer system is configured to control movement of the plurality of motorized transport units through the shopping facility space based at least on inputs from the plurality of user interface units.

Shopping facility assistance systems, devices and methods

Described in detail herein is an automated fulfillment system including a computing system programmed to receive requests from disparate sources for physical objects disposed at one or more locations in a facility. The computing system can combine the requests, and group the physical objects in the requests based on object types or expected object locations. Autonomous robot devices can receive instructions from the computing system to retrieve a group of the physical objects and deposit the physical objects in storage containers.

Distributed autonomous robot interfacing systems and methods

In some embodiments, apparatuses and methods are provided herein useful to allocate unmanned aircraft system (UAS). Some embodiments, provide UAS allocation systems, comprising: a UAS database that stores for each registered UAS an identifier and corresponding operational capabilities; an allocation control circuit configured to: obtain a first set of multiple task parameters specified by a first customer and corresponding to a requested first predefined task that the customer is requesting a UAS be allocated to perform; identify, from the UAS database, a first UAS having operational capabilities to perform the first set of task parameters while implementing the first task; and cause an allocation notification to be communicated to a first UAS provider, of the multiple UAS providers, associated with the first UAS requesting the first UAS provider to allocate the identified first UAS to implement the first task.

Systems and methods to allocate unmanned aircraft systems

In some embodiments, methods and systems are provided that provide for monitoring and controlling communication capabilities of unmanned transport vehicles that via one or more intermediate communication devices that provide relay communications between the unmanned transport vehicles and a control station device when the unmanned transport vehicles travel through areas where the network quality does not permit direct communication between the unmanned transport vehicles and the control station device.

Systems and methods for controlling communication capabilities of unmanned vehicles via intermediate communication devices

Described in detail herein is an automated fulfilment system including a computing system programmed to receive requests from disparate sources for physical objects disposed at one or more locations in a facility. The computing system can combine the requests, and group the physical objects in the requests based on object types or expected object locations. Autonomous robot devices can receive instructions from the computing system to retrieve a group of the physical objects and deposit the physical objects in storage containers.

An autonomous vehicle system includes a body and a plurality of sensors coupled to the body and configured to generate a plurality of sensor measurements corresponding to the plurality of sensors. The system also includes a control unit configured to: receive inputs from a plurality of sources wherein the plurality sources comprise the plurality of sensors, the inputs comprise the plurality of sensor measurements; determine a confidence level of each input based on other inputs; prioritize, based on the confidence level associated with each input, the inputs; generate, based on the prioritization of the inputs and the confidence level, a combined input with a combined confidence level; and determine, based on the combined input and the combined confidence level, a mission task to be performed.

System and method for autonomous decision making, corrective action, and navigation in a dynamically changing world

Methodologies, systems, and computer-readable media are provided for generating a dynamic 3D communication map. Data is collected from a number of autonomous drones as they navigate through a particular area. The autonomous drones can collect environmental data, location data, signal strength data, signal usability data, etc. and transmit that data back to a computing system. The computing system analyzes the data received from the autonomous drones and generates a dynamic 3D communication map that indicates the signal strength and/or the signal usability of various wireless communication signals as a function of time and other variables.

Systems, devices, and methods for generating a dynamic three dimensional communication map

Systems, apparatuses, and methods are provided herein for unmanned flight optimization. A system for unmanned flight comprises a set of motors configured to provide locomotion to an unmanned aerial vehicle, a set of wings coupled to a body of the unmanned aerial vehicle via an actuator and configured to move relative to the body of the unmanned aerial vehicle, a sensor system on the unmanned aerial vehicle, and a control circuit. The control circuit being configured to: control the unmanned aerial vehicle, cause the set of motors to lift the unmanned aerial vehicle, detect condition parameters based on the sensor system, determine a position for the set of wings based on the condition parameters, and cause the actuator to move the set of wings to the wing position while the unmanned aerial vehicle is in flight.

Apparatus and method for unmanned flight

Systems, methods, and computer-readable storage media for determining autonomous vehicle location using incremental image analysis. An exemplary method can include identifying an expected position of an autonomous vehicle which is moving, and identifying, an actual position of the autonomous vehicle. The identifying of the actual position occurs by obtaining images of the autonomous vehicle's surroundings, initiating an iterative image comparison of those images to previously stored images within a given geographic radius of the autonomous vehicle, and iteratively extending the radius (and the pictures being compared) until a match is found or until the maximum radius is reached.

System and method for determining autonomous vehicle location using incremental image analysis

In some embodiments, methods and systems are provided that provide for facilitating delivery, via unmanned aerial vehicles, of products ordered by a customer of a retailer to a customer-selected physical location of a person other than the customer.

Growing community of inventors

Leesburg, FL, United States of America

David C Winkle